Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Earthquake Engineeri...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Earthquake Engineering & Structural Dynamics
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 1 versions
addClaim

Mixed Lagrangian formalism for dynamic analysis of self‐centering systems

Authors: Ameer Marzok; Oren Lavan;

Mixed Lagrangian formalism for dynamic analysis of self‐centering systems

Abstract

AbstractThis paper presents two models for the analysis of self‐centering concentrically braced frames (SC‐CBFs) with multiple rocking sections. Both models are developed within the mixed Lagrangian formalism (MLF). For these models, MLF leads to a quadratic optimization problem at each time step where the internal forces at the end of the time step are the design variables. The first model is more general and explicitly models the truss elements. The second model is simplified and utilizes a macromodel. This model is easier to implement for initial designs, optimization, and parametric studies. For the purpose of formulating the simplified model, a new rotational contact element is developed and added to the MLF to describe the behavior of the rocking sections. Both models are compared to results obtained using the finite‐element method. Although the comparison shows a good agreement, MLF is shown to allow much larger time increments for convergence. This considerably reduces the computational effort and central processing unit time. The simplified model is extended for three‐dimensional analysis of SC‐CBFs. This shows that the proposed models can be easily extended using relatively simple transformation matrices.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!